GENDER DIFFERENCES IN THE PERCEIVED RISK OF BUYING ONLINE AND THE EFFECTS OF RECEIVING A SITE RECOMMENDATION

By Ellen Garbarino, Michal Ann Strahilevitz. 2004

987 citations recorded by the source corpus.

Subfields: Information Systems and Management, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a50f8fd0e5f470bc43d8f57a2c590ce2ef295645

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

1. Milena M. Head
2. Dianne Cyr
3. Alex Ivanov
4. David C. Yen
5. Jiunn-Woei Lian
6. Bassam Hasan
7. Xiaolin Lin
8. Soonyong Bae

In Marketing

1. David C. Yen
2. Jiunn-Woei Lian
3. Kristina Lerman
4. Bassam Hasan
5. Soonyong Bae
6. Taesik Lee
7. Chian-Son Yu
8. Sergio Román

In Sociology and Political Science

1. Travis C. Pratt
2. Milena M. Head
3. Michael D. Reisig
4. Kristy Holtfreter
5. Dianne Cyr
6. Alex Ivanov
7. David C. Yen
8. Jiunn-Woei Lian

Citations in the corpus

• The mediating role of consumer trust in an online merchant in predicting purchase intention (2013, background): “…of simply displaying pictures for the product features, some online stores host a discussion forum to allow consumers to freely exchange their comments, opinions, or recommendations about the products (Garbarino & Strahilevitz, 2004), which provide useful purchase guidelines for online consumers.”
• Electronic word of mouth: The effects of incentives on e‐referrals by senders and receivers (2013, background): “This preference for recommendations from friends over recommendations from experts is particularly strong among female consumers (Garbarino and Strahilevitz, 2004), and is true both online and offline (Strahilevitz, 2007).”
• Gender differences in consumers’ perception of online consumer reviews (2011, methodology): “The reason why females’ participation in online shopping is lower than males is due to the fact that females’ perceived risk of online shopping and its consequences is greater than that of males [21].”
• Online shopping drivers and barriers for older adults: Age and gender differences (2014, result): “Among these personal characteristics, age and gender have been discussed by many studies (Bae & Lee, 2011; Fan & Miao, 2012; Garbarino & Strahilevitz, 2004; Nirmala & Dewi, 2011; Passyn, Diriker, & Settle, 2011; Sangran, Siguaw, & Guan, 2009; Sebastianelli, Tamimi, & Rajan, 2008; Sorce, Perotti, &…”
• Exploring the Security of Information Sharing on Social Networking Sites: The Role of Perceived Control of Information (2014, background): “Garbarino and Strahilevitz (2004) found that women perceive a significantly higher level of risk and higher level of negative outcomes in online shopping.”
• The role of social presence in establishing loyalty in e-Service environments (2007, background): “satisfied than men, and less likely to purchase online than men (Garbarino and Strahilevitz, 2004; Rodgers and Harris, 2003).”
• Revisiting gender differences: What we know and what lies ahead☆ (2015, background): “Women are more concerned about misuse of online information (Garbarino & Strahilevitz, 2004), are more likely than men to read privacy notices, and favor enacting laws that protect confidentiality (Midha, 2012).”
• Gender Differences in Privacy-Related Measures for Young Adult Facebook Users (2010, background): “This reduction in perceived risk also strongly influences women to buy online (Garbarino and Strahilevitz 2004).”